ABSTRACT Most business management systems rely significantly on an information system and request sales prediction. What happens with the sales estimate has a big impact on the firm. A data mining method or algorithm is a very effective way to extract unknown information from a training dataset in order to increase the accuracy and efficiency of sales forecasting. This review paper provides a comprehensive research and analysis of understandable predictive models that may be used to provide improved future sales predictions. Because of the large amount of data and the accuracy of sales forecasting